A reserve capacity model of AA-CAES for power system optimal joint energy and reserve scheduling. (January 2019)

• Record Type: Journal Article
• Authors: Li, Yaowang; Miao, Shihong; Zhang, Shixu; Yin, Binxin; Luo, Xing; Dooner, Mark; Wang, Jihong
• Is Part Of: International journal of electrical power & energy systems. Volume 104(2019)
• Page Start: 279
• Page End: 290
• Publication Date: 2019-01
• Subjects: Advanced adiabatic compressed air energy storage (AA-CAES) -- Reserve capacity -- Power system scheduling -- Optimization; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2018.07.012
• Languages: English
• ISSNs: 0142-0615

Abstract

Abstract: Advanced Adiabatic Compressed Air Energy Storage (AA-CAES) has received much attention in the recent years due to its merits of no fossil fuel consumption, low costs, fast start-up and wide-ranging part load ability. It is considered to have a variety of power gird applications including providing reserve services. Although a number of studies are reported in the optimal scheduling strategy of using compressed air energy storage, very few studies have been reported in AA-CAES reserve capacity modelling. This paper presents a reserve capacity model for an AA-CAES facility considering its working mode conversion process, the dynamic characteristics, the air pressure limitations, the thermal storage capacity limitations and the power output limitations of AA-CAES. The developed reserve capacity model is then used in the power system optimal joint energy and reserve scheduling. In the scheduling, the limits on the reserve capacities of Thermal Power Units (TUs) and Interruptible Loads (ILs), which are caused by AA-CAES, are taken into account. The developed scheduling model are used to analyse the impacts of AA-CAES on the system energy and reserve schedules, the system operation costs and the wind curtailment. Numerical simulation results indicate that the participation of AA-CAES in power system operation does not only reduce the system energy and reserve costs, but also mitigate the wind curtailment. However, it is found that AA-CAES is unsuitable for undertaking the system reserve demand alone and using AA-CAES to provide reserve services may increase the system total reserve demand.